ONLINE MCA In Machine Learning & Artificial Intelligence (AMITY UNIVERSITY)

Duration – 2 years

Overview

As AI job postings soar by 119%, the need for skilled professionals in Machine Learning (ML) and Artificial Intelligence (AI) has never been greater. Amity Online’s MCA in ML & AI equips students with cutting-edge skills to develop intelligent systems that drive innovation across industries.
This specialization combines theoretical knowledge with hands-on experience in neural networks, deep learning, natural language processing, and data-driven decision-making. Students gain exposure to real-world applications in sectors like healthcare, finance, and technology, preparing them to solve complex problems with smart solutions.
Career Outcomes:
Graduates are equipped for roles such as:
Machine Learning Engineer
AI Specialist
Data Scientist
AI Product Manager
Research Analyst – AI/ML
Unlock your potential and become a driving force in the AI revolution with a future-focused MCA program.

Sample Certificate

Sample Certificate
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FULL COURSE FEE

1,70,000/- (INCLUDING ALL TAXES)
SEMESTER FEE 42,500/-
MONTHLY EMI 7,083/-

Scholarship Category

  • Divyaang (for Persons with special needs)
  • Valid certificate of disability as per government norms.
  • 20%
  • Defence Personnel
  • Minimum 2 years of service in the defence forces with a valid Identity Card number.
  • 20%
  • Amity University Alumni
  • Amity University UG/PG alumni.
  • 20%
  • Merit-Based
  • Academic excellence with minimum 85% aggregate in the previous qualification.
  • Up to 20%
  • Sports Scholarship (CHAMPS)
  • State, national, or international-level sportspersons with valid affiliation from the respective sports federation.
  • 30-100%
  • On Full Fee Payment
  • Upon upfront payment of the full program fee.
  • 8-12%
  • On Annual Fee Payment
  • Upon upfront payment of the annual program fee.
  • 5%

Course Structure

SEMESTER 1

  • Professional communication
  • Core Java
  • Advanced Database Management Systems
  • Advanced Software Engineering Principles
  • Graph Theory and Combinatorics

SEMESTER 2

  • Cognitive Analytics and Social Skills for Professional
  • Data Structures and Algorithm Design
  • Machine learning for Real World Application
  • Artificial Intelligence for Real World Application
  • Network Security and Cryptography
  • Research Methodology

SEMESTER 3

  • Unix /Linux Programming
  • Professional Ethics
  • Quantitative Aptitude
  • Seminar (Evaluation)
  • Cloud Infrastructure and Services
  • Deep Learning & Neural Network
  • Social Media & Text Analytics

SEMESTER 4

  • Major Project

Eligibility

Educational Qualification

Working professionals in IT / Analytics / Statistics / Big Data / Machine Learning Entrepreneurs looking forward to create new products or services in the ML & AI space Fresh graduates from Engineering / Mathematics / IT background Final year students completing their graduation on or before the start of the program

Grades

Passed BCA /Bachelor’s degree in computer science Engineering / passed BSc./B.Com /BA with Mathematics at 10+2 level. Students without math’s at graduate or 10+ 2 level can also apply after qualifying the bridge course